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This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.
| Autorius: | Reinhard Klette |
| Serija: | Undergraduate Topics in Computer Science |
| Leidėjas: | Springer London |
| Išleidimo metai: | 2014 |
| Knygos puslapių skaičius: | 448 |
| ISBN-10: | 1447163192 |
| ISBN-13: | 9781447163190 |
| Formatas: | 235 x 155 x 23 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Concise Computer Vision: An Introduction into Theory and Algorithms“
